Fast semistochastic heat-bath configuration interaction

Abstract

This paper presents in detail our fast semistochastic heat-bath configuration interaction (SHCI) method for solving the many-body Schrödinger equation. We identify and eliminate computational bottlenecks in both the variational and perturbative steps of the SHCI algorithm. We also describe the parallelization and the key data structures in our implementation, such as the distributed hash table. The improved SHCI algorithm enables us to include in our variational wavefunction two orders of magnitude more determinants than has been reported previously with other selected configuration interaction methods. We use our algorithm to calculate an accurate benchmark energy for the chromium dimer with the X2C relativistic Hamiltonian in the cc-pVDZ-DK basis, correlating 28 electrons in 76 spatial orbitals. Our largest calculation uses two billion Slater determinants in the variational space and semistochastically includes perturbative contributions from at least trillions of additional determinants with better than 10−5 Ha statistical uncertainty.

Document Details

Document Type
Pub Defense Publication
Publication Date
Dec 06, 2018
Source ID
10.1063/1.5055390

Entities

People

  • Adam A. Holmes
  • Cyrus Umrigar
  • Junhao Li
  • Matthew Otten
  • Sandeep Sharma

Organizations

  • Air Force Office of Scientific Research
  • Cornell University
  • National Science Foundation
  • United States Department of Energy
  • University of Colorado Boulder

Tags

Fields of Study

  • Physics

Readers

  • Linear Algebra
  • Parallel and Distributed Computing.
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.

Technology Areas

  • Microelectronics
  • Space
  • Space - Hall-Effect Thruster